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Ttttttcc新虫 (初入文坛)
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小白第一次投稿， 已有9人参与
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被拒绝好几次了，这次终于有回应了，给了大修，意见如下，大佬们看看希望大不大 Reviewer #1: Dear authors, your model is good, but I suggest the following recommendations: 1. Improve the the figure 1 of densenet by adding more information. 2. How you have selected the hyper-parameters of the proposed model? 3. Please present the training loss analysis. 4. Need more comparative analysis. 5. Refer Rapid COVID-19 diagnosis using ensemble deep transfer learning models from chest radiographic images and Deep neural network-based screening model for COVID-19-infected patients using chest X-ray images 发自小木虫IOS客户端 |
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新虫 (小有名气)
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Ttttttcc
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Reviewer #4: Dear Author, Article is well written. Need to incorporate the following points, Language check to be done Improve the Figure quality Highlight the research gap in existing work Denseunet is the existing method, Specify the author contribution in Proposed work Highlight the novelty of your work. Is it consuming, addition operation of convolutional layer Concise the conclusion Include some more keywords Cite more recent articles 发自小木虫IOS客户端 |
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祝福！ 发自小木虫Android客户端 |
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